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Llama-JAVA_tuned
hikinegi/Llama-JAVA_tuned
Llama-JAVA_tuned is a machine learning model from hikinegi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Jul 23, 2023
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jul 23, 2023
- Updated
- Jul 23, 2023
- SHA
- e9b658c5
Spaces
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Llama-JAVA_tuned
This model is a fine-tuned version of openlm-research/open_llama_3b_v2 on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 6
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 100
- training_steps: 300
Training results
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- License
- apache-2.0
- Created
- Jul 23, 2023
- Updated
- Jul 23, 2023